Top 10 LinkedIn Groups for Data Science Professionals

LinkedIn is the premier place for enterprise technology professionals to gather, connect with one another, share ideas, and network. If you are a business person who works in the data science or predictive analytics space, or you’re just looking for additional insights into what the smartest in the industry are talking about, LinkedIn professional groups are a great place to start. As a result, we’ve compiled a list of the top 10 forums to join to discover new insights, best practices and learn which software tools the experts are using in their daily operations.

Advanced Analytics and Data Science

Advanced Analytics and Data Science provides a resource for those who want to learn about and use these capabilities and meet other people involved with predictive analytics, statistics, machine learning and big data. Share your ideas with other professionals and learn how to apply the latest tools and methods to solve your most important business challenges.

This group’s purpose is to gather all the data science, big data, machine learning, AI and business intelligence professionals in the United States and abroad to share professional experience and consulting advice. DataScience.US is building the world’s largest data professionals community and showcasing the latest trends in the space.

Research Methods and Data Science

This LinkedIn forum is for researchers, analysts and practitioners to discuss research methodology, data science, research flow management, research process standardization, research automation and augmentation, as well as research competency assessment and certification. This network is specially devoted to discussing how working with AI can improve research.

The purpose of this professional group is to inform and to discuss different topics and tips from user-to-user and to create a global network of people already using – or interested in using analytics. This group deals with Big Data, Data Mining, Statistics, Business Analytics, Predictive Analytics, Prescriptive Analytics, Hadoop, Cloud Analytics, Web Analytics and Text Mining.

Data Scientists

This group aims to solve problems and create products for the scientific research community, providing assistance in enabling best practices in research, increasing performance of new applications and data services, and decreasing the effort required in adopting new technologies.

Data Science and Artificial Intelligence

Data Science and Artificial Intelligence features a strong community of members that represent a variety of domains, verticals and industries in the space of big data and analytics. They disseminate their learnings through announcements, group discussions and postings. The group was developed with a vision to be the most active platform for networking, information sharing and education.

KDnuggets Machine Learning, Data Science, Data Mining, Big Data, AI

This is a group for data analytics, data mining, and data science professionals and researchers who are interested in solving real-world problems. As part of the KDnuggets network, the forum is backed by a popular Twitter account and bi-weekly email list. The forum has 18,000 members currently and remains active and engaging, with its users regularly posting some of the most informative content of any of the groups on this list.

This is a group for data mining and statistical professionals who wish to expand their network of people and share ideas. Methodological issues are fair game, as well as discussion of software (SAS, R, WEKA, etc), technology (Hadoop, relational databases, etc) conferences, and job postings. Please note that job postings should only be submitted in the Jobs space, while advertising of services should only be submitted in the Promotions space.

Data Warehouse – Big Data – Hadoop – Cloud – Data Science – ETL

This is a group for people to connect with other professionals involved with data warehousing, big data, Hadoop, cloud computing, and data science. It also encompasses other concepts like ETL tools, databases, business intelligence, coding languages like R and Python and MDM. The group openly welcomes job recruiters as well, making it an interesting place for prospects to build their network.

This group’s members are technology professionals with a common foundation of advanced quantitative education and experience in areas of advanced analytics, statistical modeling, data mining and quantitative analyses. Group moderators encourage networking, collaboration and sharing career opportunities.

Timothy is Solutions Review's Senior Editor. He is a recognized thought leader and influencer in enterprise middleware. Timothy has also been named a top global business journalist by Richtopia. Scoop? First initial, last name at SR dot com.

Solutions Review brings all of the technology news, opinion, best practices and industry events together in one place. Every day our editors scan the Web looking for the most relevant content about Business Intelligence and Data Analytics and posts it here.